{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T17:47:46Z","timestamp":1785865666952,"version":"3.56.0"},"reference-count":58,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"5","license":[{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,5,1]],"date-time":"2019-05-01T00:00:00Z","timestamp":1556668800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["IIS-1723891"],"award-info":[{"award-number":["IIS-1723891"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Geosci. Remote Sensing"],"published-print":{"date-parts":[[2019,5]]},"DOI":"10.1109\/tgrs.2018.2876687","type":"journal-article","created":{"date-parts":[[2018,11,9]],"date-time":"2018-11-09T20:09:58Z","timestamp":1541794198000},"page":"2741-2753","source":"Crossref","is-referenced-by-count":35,"title":["Multiple Instance Choquet Integral Classifier Fusion and Regression for Remote Sensing Applications"],"prefix":"10.1109","volume":"57","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1504-966X","authenticated-orcid":false,"given":"Xiaoxiao","family":"Du","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4847-7604","authenticated-orcid":false,"given":"Alina","family":"Zare","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"291","article-title":"Multiple-instance regression with structured data","author":"lane","year":"2008","journal-title":"Proc of IEEE Intl Conf on Data Mining (ICDM"},{"key":"ref38","first-page":"1","article-title":"Salience assignment for multiple-instance regression","author":"wagstaff","year":"2007","journal-title":"Proc Workshop Constrained Optim Struct Output Spaces (ICML)"},{"key":"ref33","first-page":"570","article-title":"A framework for multiple-instance learning","volume":"10","author":"maron","year":"1998","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01600.x"},{"key":"ref31","first-page":"1073","article-title":"EM-DD: An improved multiple-instance learning technique","author":"zhang","year":"2001","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2016.10.033"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2011.2171691"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972788.15"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2010.94"},{"key":"ref34","first-page":"577","article-title":"Support vector machines for multiple-instance learning","author":"andrews","year":"2002","journal-title":"Proc Int Conf Neural Inf Process Syst (NIPS)"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2016.2623942"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CEC.2016.7743905"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/RBME.2017.2651164"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1080\/19479830903561035"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1990.126184"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/91.388176"},{"key":"ref22","article-title":"Theory of fuzzy integrals and its applications","author":"sugeno","year":"1974"},{"key":"ref21","article-title":"Learning from ambiguity","author":"maron","year":"1998"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZY.2004.1375788"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2016.7737984"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2008.920467"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2018.2839092"},{"key":"ref50","article-title":"Multiple instance Choquet integral for multiresolution sensor fusion","author":"du","year":"2017"},{"key":"ref51","first-page":"1114","article-title":"Adaptive matched subspace detectors and adaptive coherence estimators","author":"scharf","year":"1996","journal-title":"Proc 30th Asilomar Conf Signals Syst"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2004.08.012"},{"key":"ref57","first-page":"155","article-title":"Support vector regression machines","author":"drucker","year":"1997","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref56","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref55","first-page":"652","article-title":"The relevance vector machine","author":"tipping","year":"2000","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(95)00176-X"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/78.824657"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2004.840823"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2017.2750220"},{"key":"ref40","first-page":"425","article-title":"Multiple instance regression","volume":"1","author":"ray","year":"2001","journal-title":"Proc 18th Int Conf Mach Learn (ICML)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2447576"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2014.2346954"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"94541i","DOI":"10.1117\/12.2177695","article-title":"Possibilistic context identification for SAS imagery","volume":"9454","author":"du","year":"2015","journal-title":"Proc SPIE"},{"key":"ref14","doi-asserted-by":"crossref","first-page":"101820h","DOI":"10.1117\/12.2262530","article-title":"Multiple-instance learning-based sonar image classification","volume":"10182","author":"cobb","year":"2017","journal-title":"Proc SPIE"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2015.2406334"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2756632"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/91.890347"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0165-0114(02)00429-3"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2007.902024"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2007.898446"},{"key":"ref3","first-page":"1605","article-title":"Multi-sensor and algorithm fusion with the Choquet integral: Applications to landmine detection","volume":"3","author":"gader","year":"2004","journal-title":"Proc IEEE Int Geosci Remote Sens Symp (IGARSS)"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/LGRS.2010.2054063"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2009.5417533"},{"key":"ref8","article-title":"MUUFL Gulfport hyperspectral and LiDAR airborne data set","author":"gader","year":"2013"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TGRS.2009.2039936"},{"key":"ref49","volume":"29","author":"rolewicz","year":"2013","journal-title":"Functional Analysis and Control Theory Linear Systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-7908-1769-0"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.5802\/aif.53"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-017-0399-4_3"},{"key":"ref47","article-title":"Information fusion and sparsity promotion using Choquet integrals","author":"mendez-vazquez","year":"2008"},{"key":"ref42","author":"keller","year":"2016","journal-title":"Fundamentals of computational intelligence neural networks fuzzy systems and evolutionary computation"},{"key":"ref41","doi-asserted-by":"crossref","DOI":"10.18297\/etd\/2975","article-title":"Robust fuzzy clustering for multiple instance regression","author":"trabelsi","year":"2018"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2014.6891630"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14049-5_52"}],"container-title":["IEEE Transactions on Geoscience and Remote Sensing"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielaam\/36\/8697166\/8528500-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/36\/8697166\/08528500.pdf?arnumber=8528500","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,13]],"date-time":"2022-07-13T21:04:29Z","timestamp":1657746269000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8528500\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5]]},"references-count":58,"journal-issue":{"issue":"5"},"URL":"https:\/\/doi.org\/10.1109\/tgrs.2018.2876687","relation":{},"ISSN":["0196-2892","1558-0644"],"issn-type":[{"value":"0196-2892","type":"print"},{"value":"1558-0644","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,5]]}}}